— The popularity of IEEE 802.11 WLANs has led to dense deployments in urban areas. High density leads to suboptimal performance unless the interfering networks learn how to optim...
Domain-specific modeling solutions have been promoted for some time in order to improve the productivity of software developers by providing them with modeling environments that ar...
This article presents a method aiming at quantifying the visual similarity between an image and a class model. This kind of problem is recurrent in many applications such as objec...
Abstract--Feature selection is an important challenge in machine learning. Unfortunately, most methods for automating feature selection are designed for supervised learning tasks a...
We propose a new neural network architecture, called Simple Recurrent Temporal-Difference Networks (SR-TDNs), that learns to predict future observations in partially observable en...